code: def test_predict(self):
      predictions = self.head.predict(self.inputs, self.data_samples)
      for pred in predictions:
          assert isinstance(pred, ReIDDataSample)
          assert isinstance(pred.pred_feature, torch.Tensor)
          assert isinstance(pred.gt_label.label, torch.Tensor)
          assert pred.pred_feature.shape == (32,)
  
file_path: mmdetection/tests/test_models/test_reid/test_linear_reid_head.py
imports: from unittest import TestCase
  import torch
  from mmdet.registry import MODELS
  from mmdet.structures import ReIDDataSample
  from mmdet.utils import register_all_modules
label_desc: Use image node_id 4 for calling the TestLinearReIDHead obj's underlying member method code with example usage: obj.test_predict() without return types